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The team takes AI personalization to a whole new level.

Researchers at the School of Engineering at Princeton University have successfully deployed a large language model (LLM) to help a robotic manipulator make sense of instructions to tidy up a room.

Robotic arms, or manipulators, are great at performing assigned tasks. In a factory setup, the manipulator can assemble machine parts, paint cars and even carve sculptures. However, get one at home, and the robot is clueless. It could turn the house upside down for a simple instruction such as “tidy up the room.”

Elon Musk has been pretty open about the idea of using social media platforms like Twitter to communicate directly with customers. Tesla highlighted this in its 2022 Impact Report, with the company noting that its social media accounts have helped it reach 1 billion views on Twitter last year.

With Twitter now being owned by Elon Musk, it is no surprise that his companies like Tesla are now more active on the platform. And in a recent post, the official Tesla account asked Twitter users what it could improve. The EV community, from fans to longtime owners, responded, to a great degree. As of writing, Tesla’s post has attracted over 22k comments.

A look at the comments on Tesla’s post would show that there are numerous calls for better service. Service has been Tesla’s Achilles heel for some time now, and with the company adopting a “best service is no service” stance, some owners have reported experiencing difficulties contacting Tesla for issues with their vehicles. Comments on Tesla’s post suggest that customer service is still a key point of improvement for the company.

AI is poised as a way to address many of the hazardous elements of manufacturing workplaces. The technology can help limit employees’ exposure to loud environments, unwieldy machinery and dangerous tasks by streamlining processes and helping workers focus on less physically risky activities.

In manufacturing, many of AI’s potential benefits are concentrated in replacing the cause of the most common workplace injuries. These include “musculoskeletal disorders, mainly from overexertion in lifting and lowering, and being struck by powered industrial trucks and other materials handling equipment,” according to an OSHA spokesperson.

There are several ways to reduce those points of risk, with the most dangerous manufacturing tasks standing to benefit the most.

May 8 (Reuters) — Chip designer Qualcomm Inc (QCOM.O) said on Monday it would buy Israel’s Autotalks Ltd that makes chips used in technology aimed at preventing vehicle crashes, as the U.S. firm looks to deepen its automotive business.

With increasing electric vehicles and automatic features in cars, the number of chips used by automakers is surging, making the automotive market a key growth area for chipmakers.

Autotalks makes dedicated chips used in the vehicle-to-everything (V2X) communications technology for manned and driverless vehicles to improve road safety.

The Code Interpreter is probably the most interesting ChatGPT plugin of OpenAI and opens up completely new capabilities for the Chatbot.

At the end of March, OpenAI introduced a groundbreaking new feature for ChatGPT: Plugins. One of them is a so-called Code Interpreter. With it, the language model can not only generate code, but also execute it independently.

As with Auto-GPT, the busy developer community has found exciting use cases for this technology in a very short time. Especially for data journalism and similar data-based analysis, the tool seems to open up completely new possibilities. This is also due to the possibility of uploading and downloading files up to 100 MB in size.